Dynamic estimation and control is a fast growing and widely researched field of study that lays the foundation for a new generation of technologies that can dynamically, adaptively and automatically stabilize power systems. This book provides a comprehensive introduction to research techniques for real-time estimation and control of power systems.
Dynamic Estimation and Control of Power Systems coherently and concisely explains key concepts in a step by step manner, beginning with the fundamentals and building up to the latest developments of the field. Each chapter features examples to illustrate the main ideas, and effective research tools are presented for signal processing-based estimation of the dynamic states and subsequent control, both centralized and decentralized, as well as linear and nonlinear. Detailed mathematical proofs are included for readers who desire a deeper technical understanding of the methods.
This book is an ideal research reference for engineers and researchers working on monitoring and stability of modern grids, as well as postgraduate students studying these topics. It serves to deliver a clear understanding of the tools needed for estimation and control, while also acting as a basis for readers to further develop new and improved approaches in their own research.
Dynamic estimation and control is a fast growing and widely researched field of study that lays the foundation for a new generation of technologies that can dynamically, adaptively and automatically stabilize power systems. This book provides a comprehensive introduction to research techniques for real-time estimation and control of power systems.
Dynamic Estimation and Control of Power Systems coherently and concisely explains key concepts in a step by step manner, beginning with the fundamentals and building up to the latest developments of the field. Each chapter features examples to illustrate the main ideas, and effective research tools are presented for signal processing-based estimation of the dynamic states and subsequent control, both centralized and decentralized, as well as linear and nonlinear. Detailed mathematical proofs are included for readers who desire a deeper technical understanding of the methods.
This book is an ideal research reference for engineers and researchers working on monitoring and stability of modern grids, as well as postgraduate students studying these topics. It serves to deliver a clear understanding of the tools needed for estimation and control, while also acting as a basis for readers to further develop new and improved approaches in their own research.
1. Introduction2. Power System Modeling, Simulation, and Control Design3. Centralized Dynamic Estimation and Control4. Decentralized Dynamic Estimation Using PMUs5. Dynamic Parameter Estimation of Analogue Voltage and Current Signals6. Decentralized Dynamic Estimation Using CT/VTs7. Control Based on Dynamic Estimation: Linear and Nonlinear Theories8. Decentralized Linear Control Using DSE and ELQR9. Decentralized Nonlinear Control Using DSE & Normal Forms10. ConclusionA. Description of the 16-Machine, 68-Bus, 5-Area Test SystemB. Dynamic State Estimation Plots for Unit 3and Unit 9C. Level-2S-Function Used in Integrated ELQR
Dr. Abhinav Kumar Singh is a lecturer of Power Systems at the School of Electronics and Computer Science, University of Southampton. He received his PhD from ICL in 2015. He is a recipient of the prestigious EPSRC Doctoral Prize Fellowship and IEEE Power and Energy Society Working Group Award for his contributions to power system modeling, estimation and control. Dr. Singh is a Member of IEEE and in this capacity has contributed to two Task Force reports, chaired sessions and presented tutorials. Dr. Bikash Pal is Professor of Power Systems at the Department of Electrical and Electronic Engineering, Imperial College London, London. He is research active in dynamics, stability, estimation and control of power system dominated by renewable generations. At Imperial College London, he teaches various power system courses at the graduate and post graduate level
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